Global Hydropower Simulation - Forecast_v2

• Main Authors: Donghoon Lee, Jia Yi Ng, Stefano Galelli, Paul Block
• Format: Dataset
• Language: unknown
• Subjects: climate variability; global; model predictive control; streamflow forecast; hydropower; Pacific; North Atlantic; North Atlantic oscillation
• Online Access: https://search.dataone.org/view/sha256:7f465843c91ed807cf19cd0ceaf8ab68aaba2eff80ff267f7664f98a1139a954

This resource contains the hydropower time series for 735 headwater hydropower dams operating under 3 different schemes – control rules, forecast-informed operations with perfect forecast, and forecast informed operations with deterministic forecast. The deterministic streamflow forecasts depend on seven drivers, that is, four large scale climate drivers— El Niño Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), Pacific Decadal Oscillation (PDO), and Atlantic Multidecadal Oscillation (AMO)—and three variables accounting for local processes—lagged inflow, snowfall, and soil moisture. Start exploring the data by downloading the Rdata together with the open_file.R script. You will be able to find monthly-resolution time series outputs of our simulation, including the hydropower production, storage level, and water releases for each dam.